ROI calculator

See what AI-first sourcing would do to your numbers.

Personalized math from production data. Built on the same ratios published in the Headhunt.AI briefings — +38% candidates met per recruiter, 17.2× return on credits, ¥4,266,675 average placement fee — applied to your team size, your LinkedIn spend, your reply rate. Every step shown, every number cited. No black box.

Inputs

Billing recruiters running their own searches.
Roughly 300 = 25 meetings per month [B01 §02].
ESAI Agency average is ¥4,266,675 [B08 §04]. Edit to your own.
Your current funnel ratio. 40 is the industry baseline cited in [B08 §04]; ESAI Agency runs 39.625.
Override the source ratios
Default 1.38 = +38% candidates met per recruiter [B04 cover, §01]. The single sourced ratio for this lift.

Estimated annual revenue lift

¥0

Show the math

Where these numbers come from

Every default in the calculator comes from a published Headhunt.AI briefing. Override any value with your own data above. Citations:

  • +38% candidates met per recruiter (B04 cover, §01) — the agency-mode capacity multiplier. Last quarter on the ESAI Agency desk, post-Headhunt.AI deployment, with the recruiter headcount held constant. Read briefing 04 →
  • 17.2× return on credits (B08 cover, §01) — the autonomous-operation production ceiling. Sixteen weeks, ¥100,000 of credits, ¥1,720,788 in expected revenue. Hands-off, no recruiter hours added. Read briefing 08 →
  • 5× conservative ROI underwriting (B04 §06) — the floor for hybrid adopters using Headhunt.AI for sourcing and scout-mail composition, sending through their own LinkedIn or CRM infrastructure. The Year-1 P&L tables in B04 underwrite at this rate. B04 §06 →
  • ¥4,266,675 average placement fee (B08 §04) — ESAI Agency’s production average. Used to convert expected revenue back to placement count.
  • 39.625 meetings per placement (B08 §04) — ESAI Agency’s measured ratio. The calculator uses 40 as the round-number default; ESAI’s slightly tighter funnel is documented as the production benchmark.
  • 3.13% cold-scout reply rate (B04 cover, B08 §05) — the published reference rate cited in the briefings above. Used as the anchor point for the LinkedIn Recruiter mode’s effective-ROI scaling.
  • LinkedIn seat pricing (B04 §05) — RPS at $4,375 = ¥687,000 per seat per year; Recruiter Corporate at the $12,000 market midpoint = ¥1,884,000 per seat per year. FX rate ¥157/USD. B04 §05 →

About the math

Estimates only, derived from ESAI Agency’s production data and the LinkedIn / Recruiter Corporate market pricing cited in Briefing 04. Your results will vary by market, vertical, role mix, recruiter tenure, scout-mail quality, and the operating model you choose for Headhunt.AI (assisted vs autonomous). Use the calculator as a directional planning tool, not a contractual projection.

The calculator runs in your browser. The three buttons below the result let you take it away, each gated behind a one-time email signup so we know who’s using the tool. After you submit once on this page, the other two buttons deliver instantly without re-asking:

  • Open one-page summary — submit your email, and a printable summary opens in a new browser tab. We also email you a link that re-opens this exact result whenever you want to revisit it, along with the three briefings behind the math.
  • Email me the briefings — submit your email, and you receive a welcome email with the three briefings behind the math plus a link to your exact result. Your one-page summary also opens in a new tab as a bonus.
  • Copy results link — submit your email, and a shareable URL is copied to your clipboard. The URL contains your inputs by design — that’s what makes it shareable. We also email you a permanent copy of the same link plus the three briefings behind the math.